Artificial intelligence has been the hottest topic of the business world the last few years. Every week there’s a new model, new vibe-coded apps, and seemingly limitless value. But in large enterprises, AI is still in its infancy. Most projects fail, and many companies are still trying to figure out how best to use the capabilities LLMs and other Machine Learning models provide. At Snorkel, we’ve delivered AI solutions for our Fortune 500 customers across industries in banking, telecommunications, healthcare, technology, and more. In this session, we’ll explore how we delivered real-world use cases of AI through the lens of what we believe is the most important part of AI systems: the data. You’ll take away lessons on how to get AI projects to production through building high-quality datasets, targeted evaluations, and making the most of humans in the loop.
Dan Scruggs is an Applied AI Engineer at Snorkel AI, leading projects to deliver AI capabilities to large enterprises. Before joining Snorkel, he worked at Valent Partners, a boutique consultancy in Dallas, building full-stack systems enabled by data science technology for mid-to-large size businesses. Prior to that he worked at Lockheed Martin in their Analytics Center of Excellence delivering ML projects in the domains of manufacturing and competitive intelligence. He received his Bachelors in Math and Economics as well as a Masters in Economics from the University of Alabama, and went on to receive a Masters in Computer Science degree from Georgia Tech.
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